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[1] Current good practice guidelines for national greenhouse gas inventories requires that seasonal variation in emission factors from savanna fires be considered when compiling national accounts. African studies concluded that the emission factor for methane decreases during the dry season principally due to curing of the fuels. However, available data(More)
Remote sensing plays a critical role in mapping and monitoring mangroves. Aerial photographs and visual image interpretation techniques have historically been known to be the most common approach for mapping mangroves and species discrimination. However, with the availability of increased spectral resolution satellite imagery, and advances in digital image(More)
This paper describes first results of a land cover / land use (LCLU) classification of Germany, developed at the German Remote Sensing Data Center (DLR-DFD). The automated, yearly updated product is based on MERIS level 2 full resolution data. The classification procedure consists of two main steps, namely a multispectral and a multitemporal analysis. The(More)
The spatial and temporal variability of phytoplankton blooms was investigated in two tropical coastal regions of northern Australia using the MEdium Resolution Imaging Spectrometer (MERIS) full mission (2002–2012) reduced resolution dataset. Satellite-derived proxies for phytoplankton (Chlorophyll-a (Chl), Fluorescence Line Height (FLH), Maximum Chlorophyll(More)
North Australian tropical savanna accounts for 12% of the world's total savanna land cover. Accordingly, understanding processes that govern carbon, water and energy exchange within this biome is critical to global carbon and water budgeting. Climate and disturbances drive ecosystem carbon dynamics. Savanna ecosystems of the coastal and sub-coastal of north(More)
Mangroves are one of the most productive coastal communities in the world. Although we acknowledge the significance of ecosystems, mangroves are under natural and anthropogenic pressures at various scales. Therefore, understanding biophysical variations of mangrove forests is important. An extensive field survey is impossible within mangroves. WorldView-2(More)
– This study used MODIS active fire detections and associated fire radiative power estimates to characterise bush fires in the savanna region of Australia's Northern Territory. In contrast to other sensors MODIS has dedicated fire channels that rarely saturate over fires, enabling fire detections during the day and estimates of fire radiative power. Using(More)